Master of Electrical Engineering (MEE) Degree

Program Learning Outcomes for the MEE Degree

Upon completing the MEE degree, students will be able to:

  1. Apply the principles of mathematics and science necessary to solve advanced electrical engineering problems.
  2. Practice at an advanced level in at least one of the major sub-fields of electrical engineering.

Requirements for the MEE Degree

The MEE degree is a non-thesis master's degree. For general university requirements, please see Non-Thesis Master's Degrees. For additional requirements, regulations, and procedures for all graduate programs, please see All Graduate Students. Students pursuing the MEE degree must complete:

  • A minimum of 10 courses (30 credit hours) to satisfy degree requirements.
  • A minimum of 30 credit hours of graduate-level study (coursework at the 500-level or above). 
  • A minimum of 27 credit hours must be taken at Rice University.
  • A minimum residency enrollment of one fall or spring semester of part-time graduate study at Rice University.
  • A minimum of 3 courses (9 credit hours) from the core requirements.  
  • The requirements for one area of specialization (see below for areas of specialization). The MEE degree program offers five areas of specialization, or focus areas:
  • A minimum of 4 courses (12 credit hours) from the elective requirements:
    • 2 courses (6 credit hours) from the General MEE requirement  
    • 2 courses (6 credit hours) from the Free Elective requirement.
  • ELEC 698 each semester in residence at Rice University. 
  • A maximum of 1 course (3 credit hours) of graduate-level coursework as transfer credit. For additional departmental guidelines regarding transfer credit, see the Policies tab. 
  • A minimum overall GPA of 2.67.
  • A minimum GPA of 3.00 in required coursework with a minimum grade of C (2.00 grade points) in each course.

Students are admitted to the MEE degree program in the fall semester. MEE students are to consult with an academic advisor on the MEE Committee each semester in order to identify and clearly document their individual curricular requirements or degree plan to be followed. An MEE degree planning form and current requirements may be found on the ECE website.

The courses listed below satisfy the requirements for this degree program. In certain instances, courses not on this official list may be substituted upon approval of the program's academic advisor, or where applicable, the department or program's Director of Graduate Studies. (Course substitutions must be formally applied and entered into Degree Works by the department or program's Official Certifier.) Students and their academic advisors should identify and clearly document the courses to be taken.

Summary

Total Credit Hours Required for the MEE Degree30

Degree Requirements

Core Requirements
Select 3 from the following:9-11
HIGH PERFORMANCE COMPUTER ARCHITECTURE
INTRODUCTION TO RANDOM PROCESSES AND APPLICATIONS
COMMUNICATION NETWORKS
INTRODUCTION TO COMPUTER VISION
MACHINE LEARNING AND SIGNAL PROCESSING FOR NEURO ENGINEERING
DIGITAL COMMUNICATION
MOBILE AND EMBEDDED SYSTEM DESIGN AND APPLICATION
DIGITAL SIGNAL PROCESSING
INTRODUCTION TO SOLID STATE PHYSICS I
LASER SPECTROSCOPY
LEARNING FROM SENSOR DATA
FUNDAMENTALS OF HUMAN NEUROIMAGING
Area of Specialization
Select 1 of the following Areas of Specialization (see Areas of Specialization below):8-11
Computer Engineering
Data Science
Neuroengineering
Photonics, Electronics, and Nano-devices
Systems
Elective Requirements
General MEE Requirement: select 2 additional courses from any of the courses that qualify as Core Requirement courses or that fulfill any of the Areas of Specialization6
Free Elective Requirement: select 2 additional courses as free electives 16
Professional Master's Seminar
ELEC 698ECE PROFESSIONAL MASTERS SEMINAR SERIES (required each semester in-residence at Rice University, credit hours earned do not apply towards degree requirements) 21
Total Credit Hours30

 Footnotes and Additional Information

Areas of Specialization

Students must complete a minimum of 3 courses (9 credit hours) from one Area of Specialization and may select up to 2 additional courses (6 credit hours) from any Area of Specialization (or from the Core Requirements) to fulfill Elective Requirements.  

Area of Specialization: Computer Engineering 

Select 3 from the following:9-11
COMPLEXITY IN MODERN SYSTEMS
ADVANCED DIGITAL INTEGRATED CIRCUITS DESIGN
ADVANCED VLSI DESIGN
HIGH PERFORMANCE COMPUTER ARCHITECTURE
VLSI SYSTEMS DESIGN
MOBILE AND EMBEDDED SYSTEM DESIGN AND APPLICATION
COMPUTER SYSTEMS ARCHITECTURE
Total Credit Hours9-11

Area of Specialization: Data Science

Select 3 from the following:9-10
NEURAL MACHINE LEARNING I
STATISTICAL MACHINE LEARNING
STATISTICAL SIGNAL PROCESSING
INTRODUCTION TO RANDOM PROCESSES AND APPLICATIONS
INFORMATION THEORY
INTRODUCTION TO COMPUTER VISION
DIGITAL SIGNAL PROCESSING
LEARNING FROM SENSOR DATA
A PRACTICAL INTRODUCTION TO DEEP MACHINE LEARNING
INTRODUCTION TO MACHINE LEARNING
ADVANCED TOPICS IN SIGNAL PROCESSING
Total Credit Hours9-10

Area of Specialization: Neuroengineering 

Select 3 from the following:9-10
NEURAL MACHINE LEARNING I
INTRODUCTION TO RANDOM PROCESSES AND APPLICATIONS
MACHINE LEARNING AND SIGNAL PROCESSING FOR NEURO ENGINEERING
FUNDAMENTALS OF HUMAN NEUROIMAGING
FUNDAMENTALS OF MEDICAL IMAGING I
THEORETICAL NEUROSCIENCE I: BIOPHYSICAL MODELING OF CELLS AND CIRCUITS
NEURAL COMPUTATION
NANO-NEUROTECHNOLOGY
INTRODUCTION TO COMPUTATIONAL NEURSCIENCE
Total Credit Hours9-10

Area of Specialization: Photonics, Electronics, and Nano-devices

Select 3 from the following:8-9
PHYSICS OF SENSOR MATERIALS AND NANOSENSOR TECHNOLOGY
OPTOELECTRONIC DEVICES
INTRODUCTION TO SOLID STATE PHYSICS I
NANO-OPTICS
LASER SPECTROSCOPY
ULTRAFAST OPTICAL PHENOMENA
IMAGING AT THE NANOSCALE
TOPICS IN NANOPHOTONICS
COMPUTATIONAL ELECTRODYNAMICS AND NANOPHOTONICS
Total Credit Hours8-9

Area of Specialization: Systems 

Select 3 from the following:9
STATISTICAL SIGNAL PROCESSING
INTRODUCTION TO RANDOM PROCESSES AND APPLICATIONS
INFORMATION THEORY
COMMUNICATION NETWORKS
INTRODUCTION TO COMMUNICATION NETWORKS
THE APPLICATION OF VECTOR SPACE METHODS AND OTHER ADVANCED TECHNIQUES TO DSP
INTRODUCTION TO COMPUTER VISION
COMPUTER VISION
COMPUTATIONAL PHOTOGRAPHY
DIGITAL COMMUNICATION
DIGITAL SIGNAL PROCESSING
Total Credit Hours9

Policies for the MEE Degree

Department of Electrical and Computer Engineering Graduate Program Handbook

The General Announcements (GA) is the official Rice curriculum. As an additional resource for students, the department of Electrical and Computer Engineering publishes a graduate program handbook, which can be found here: 
http://gradhandbooks.rice.edu/2018_19/Electrical_Computer_Engineering_MME_Handbook.pdf

Transfer Credit 

For Rice University’s policy regarding transfer credit, see Transfer Credit. Some departments and programs have additional restrictions on transfer credit. Students are encouraged to meet with their academic program’s advisor when considering transfer credit possibilities.

Departmental Transfer Credit Guidelines

Students pursuing the MEE degree in the field of Electrical and Computer Engineering should be aware of the following departmental transfer credit guidelines:

  • No more than 1 course (3 credit hours) of transfer credit from U.S. or international universities of similar standing as Rice may apply towards the degree.
  • Requests for transfer credit will be considered by the program director (and/or the program’s official transfer credit advisor) on an individual case-by-case basis.

Additional Information 

For additional information, please see the Electrical and Computer Engineering website: https://www.ece.rice.edu/

Opportunities for the MEE Degree 

Additional Information 

For additional information, please see the Electrical and Computer Engineering website: https://www.ece.rice.edu/